Review on Crop Yield Prediction using Data Mining Focusing on Groundnut Crop and Naive Bayes Technique

Authors

  • Haresh L. Siju  PG Student, Department of Computer Engineering, Government Engineering College Gandhinagar, Gandhinagar, Gujarat, India
  • Pinal J. Patel  Assistant Professor, Department of Computer Engineering, Government Engineering College Gandhinagar, Gandhinagar, Gujarat, India

Keywords:

Data Mining, Crop Yield Prediction, Naive Bayes Method

Abstract

In Indian economy, Agriculture is the most important branch and 70 percentage of rural population livelihood depends on agricultural work. Farming is the one of the important part of Agriculture. Crop yield depends on environment’s factors like precipitation, temperature, evapotranspiration, etc. Generally farmers cultivate crop, based on previous experience. But nowadays, the uncertainty increased in environment. So, accurate analysis of historic data of environment parameters should be done for successful farming. To get more harvest, we should also do the analysis of previous cultivation data. The Prediction of crop yield can be done based on historic crop cultivation data and weather data using data mining methods. This paper describes the role of data mining in Agriculture and crop yield prediction. This paper also describes Groundnut crop yield prediction analysis and Naive Bayes Method.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

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Volume 3, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
Haresh L. Siju, Pinal J. Patel, " Review on Crop Yield Prediction using Data Mining Focusing on Groundnut Crop and Naive Bayes Technique, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1947-1954, January-February-2018.